Top Tech Jobs & Startup Jobs in Seattle, WA

Lead QA automation efforts for enterprise applications by defining QA strategy, designing Java/Selenium/Cucumber automation frameworks, integrating tests into CI/CD pipelines on AWS, mentoring QA engineers, managing defect lifecycle, and collaborating with development and DevOps to ensure comprehensive functional, regression, API, and end-to-end testing.

Lead architecture, design, and delivery of scalable full-stack enterprise applications. Provide technical leadership, mentor engineers, design microservices and event-driven systems using Java, Spring Boot, Angular, and Kafka, and drive CI/CD, security, and operational excellence.

Lead enterprise Generative AI strategy, design and productionize RAG and retrieval systems, define evaluation and alignment frameworks, oversee model adaptation (SFT/DPO/RLHF), ensure AI quality and safety, and mentor cross-functional teams to translate research into scalable production solutions.

Design, evaluate, and productionize generative AI/ML solutions (RAG, agents, embeddings, retrieval). Build evaluation frameworks for hallucination detection, benchmark LLMs, optimize prompts/models, create datasets, fine-tune models, and collaborate to deploy and monitor enterprise-scale GenAI systems.

Design, build, deploy, and operate production-grade AI agents and multi-agent systems. Implement RAG, agent orchestration, copilots, observability, memory patterns, and enterprise integrations while ensuring governance, reliability, and onshore/offshore delivery.

Lead product strategy and roadmaps for marketing and e-commerce platforms, optimize CRM-driven customer journeys, collaborate with engineering and data teams, measure KPIs, and drive engagement, acquisition, retention, and digital revenue growth.

Lead development of scalable AI/ML capabilities for Mail Intelligence: build LLM- and ML-based personalization, data pipelines, tools, and observability. Mentor engineers, collaborate cross-functionally, run A/B tests, implement feedback loops, and balance cost/quality/speed tradeoffs to deliver production-grade solutions.

Design, build, and maintain scalable Java/Spring Boot backend services and RESTful microservices. Implement event-driven architectures with Kafka, manage PostgreSQL schemas and queries, ensure performance and security, troubleshoot production issues, collaborate across teams, participate in code reviews, and operate services on Kubernetes with CI/CD workflows.

Serve as product owner for an Android mobile app: define vision, write epics/user stories, prioritize roadmaps, drive technical design and metrics, coordinate cross-functional teams (engineering, data science, clinical, design), and deliver healthcare-focused mobile features using Agile/SAFe practices.

Lead a team of 5-6 data engineers to design and implement scalable data pipelines (Airflow), manage Snowflake data architecture, build real-time streaming solutions with Kafka/Spark Streaming, develop and integrate APIs, enforce code quality, and drive technical decisions and best practices.